Databricks

Databricks

AI Engineer — GTM Analytics

United States

Sponsorship not specified$147k-$202kDetected 1 day ago
TypeScriptPythonReactFastAPIFull-Stack DevelopmentCode ReviewGitSQLPostgreSQLDatabricksCI/CDGitHub ActionsRESTSparkdbtData EngineeringData ScienceLLMsRAGUnityCommunicationProblem Solving

> stay_score

odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

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About the role

  • You'll work alongside senior engineers, and you'll be expected to lean on AI coding tools heavily and thoughtfully from day one.
  • This is a high-ownership, fast-shipping team where early-career engineers get real surface area.

Responsibilities

  • Build and ship features for AI-powered surfaces: Genie analytics agents, LLM-assisted feedback and enablement workflows, and in-app intelligence inside the GTM Hub.
  • Develop and integrate agentic workflows - prompts, tools/MCP integrations, retrieval, and evaluation - that turn business questions into reliable, grounded answers.
  • Partner with data engineers, app engineers, and strategy/ops stakeholders to take work from idea → ticket → PR → production.
  • Hands-on exposure to LLMs / generative AI - prior work building with APIs, prompts, RAG, Knowledge graphs & agents.

Requirements

  • Bachelor's degree in Computer Science, Data Science, or a related field - or equivalent practical experience.

Nice to have

  • Experience with the Databricks platform (AI Gateways, notebooks, jobs, Unity Catalog, Databricks Apps, Genie) or another cloud data platform.
  • familiarity with MCP, tool-calling, or eval frameworks.
  • Full-stack exposure (React/TypeScript front end, FastAPI/Python back end) or data engineering (dbt, Spark, medallion architectures).
  • Experience with Postgres/OLTP, CI/CD (Databricks Asset Bundles, GitHub Actions), or analytics/BI.
  • Databricks (AI Gateway, Unity Catalog, Delta, Jobs, Databricks Apps, Lakebase, Genie) · Python · SQL · React/TypeScript · FastAPI · Claude Code & agentic skills · GitHub + DABs CI/CD.
  • We work in sprints, review each other's PRs, and treat AI as a first-class teammate - with the human judgment to know when it's wrong.

Compensation

  • Databricks is committed to fair and equitable compensation practices.
  • The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.
  • Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
  • The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
  • Zone 1 Pay Range
  • $146,600 - $201,650 USD

Benefits

  • At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
  • For specific details on the benefits offered in your region click here.

Company info

  • We are "Customer Zero" for Databricks: we adopt the newest Databricks and AI tooling first, in production, and pave the path for the rest of the company.
  • Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
  • Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
  • Use AI coding tools (Claude Code, agentic skills) as a core part of your workflow, and help build the reusable skills and harnesses that make the whole team faster.
  • At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Equal opportunity

  • Our Commitment to Diversity and Inclusion
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This listing is sourced directly from Databricks's careers page and normalized into a canonical job model.